THE PRIMARY STUDY OF BASEMENT STRUCTURE AND DIFFE- RENCE OF HYDROCARBON RESERVOIR IN CRATONIC BASIN
Bibliographic record
Abstract
The Cratonic basins are abundant in petroleum deposition and becoming the future field of oil and gas resource exploration with unequal hydrocarbon accumulation and distribution. According to the difference of basement under interior cratonic basin, four types of basin can be identified: rift basement(Michigan and Illinois Basins in north America), orogeny fold basement (Williston basin, between the Canada and US), jointing suture basement (Tarim and Eastern Siberia basins) and stable crystal basement(Carpentaria basin in Australia and Parana basin in south Americ). This classification emphasizes control action of different structure basements to formation and evolution of interacratonic basins, such as Reelfoot rift in Illinois basin, Keweenawan rift in Michigan basin, Mgrich Mafic suture in Tarim basin, KotujAngaraLena folded belt in east Siberia basin and Transhudson orogenic zone in Williston basin. The development of cratonic lithosphere tends to become simple and thin with geological time. Based on the study of deep structure and the rule of reservoir formation, we can find the abundance of oil and gas in basins which have active structures is more better than that in stable crystallization basins. This geological background is highly advantageous to generation and accumulation of hydrocarbon. The oil and gas enrichment degree of cratonic basin is riftbased basin orogeny foldbased basinjointing suturebased basinstable crystalbased basin. Furthermore, the main control factor of reservoir formation is also different among these variety interior cratonic basins.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".